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Titlebook: An Introduction to Infinite-Dimensional Analysis; Giuseppe Prato Textbook 2006 Springer-Verlag Berlin Heidelberg 2006 Brownian motion.Gaus

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期刊全称An Introduction to Infinite-Dimensional Analysis
影响因子2023Giuseppe Prato
视频video
发行地址Based on well-known lectures given at SNS Pisa.The author is a world leader in the field of infinite dimensional analysis, and the teacher of many other leaders. Has published very little in book for
学科分类Universitext
图书封面Titlebook: An Introduction to Infinite-Dimensional Analysis;  Giuseppe Prato Textbook 2006 Springer-Verlag Berlin Heidelberg 2006 Brownian motion.Gaus
影响因子.In this revised and extended version of his course notes from a 1-year course at Scuola Normale Superiore, Pisa, the author provides an introduction – for an audience knowing basic functional analysis and measure theory but not necessarily probability theory – to analysis in a separable Hilbert space of infinite dimension. ..Starting from the definition of Gaussian measures in Hilbert spaces, concepts such as the Cameron-Martin formula, Brownian motion and Wiener integral are introduced in a simple way. These concepts are then used to illustrate some basic stochastic dynamical systems (including dissipative nonlinearities) and Markov semi-groups, paying special attention to their long-time behavior: ergodicity, invariant measure. Here fundamental results like the theorems of  Prokhorov, Von Neumann, Krylov-Bogoliubov and Khas‘minski are proved. The last chapter is devoted to gradient systems and their asymptotic behavior..
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0172-5939 long-time behavior: ergodicity, invariant measure. Here fundamental results like the theorems of  Prokhorov, Von Neumann, Krylov-Bogoliubov and Khas‘minski are proved. The last chapter is devoted to gradient systems and their asymptotic behavior..978-3-642-42168-6978-3-540-29021-6Series ISSN 0172-5939 Series E-ISSN 2191-6675
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An Introduction to Infinite-Dimensional Analysis978-3-540-29021-6Series ISSN 0172-5939 Series E-ISSN 2191-6675
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https://doi.org/10.1007/3-540-29021-4Brownian motion; Gaussian measures; Hilbert space; Markov processes; Probability theory; Sobolev space; Wh
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